class_docstr: Augmenter that apply randomly behavior for augmentation.
  
  :param str action: 'substitute', 'swap', 'delete' or 'crop'. If value is 'swap', adjacent words will be swapped randomly.
      If value is 'delete', word will be removed randomly. If value is 'crop', a set of contunous word will be removed randomly.
  :param float aug_p: Percentage of word will be augmented. 
  :param int aug_min: Minimum number of word will be augmented.
  :param int aug_max: Maximum number of word will be augmented. If None is passed, number of augmentation is
      calculated via aup_p. If calculated result from aug_p is smaller than aug_max, will use calculated result from
      aug_p. Otherwise, using aug_max.
  :param list stopwords: List of words which will be skipped from augment operation. Not effective if action is 'crop'
  :param str stopwords_regex: Regular expression for matching words which will be skipped from augment operation. Not effective if action is 'crop'
  :param list target_words: List of word for replacement (used for substitute operation only). Default value is _.
  :param func tokenizer: Customize tokenization process
  :param func reverse_tokenizer: Customize reverse of tokenization process
  :param str name: Name of this augmenter
  
  >>> import nlpaug.augmenter.word as naw
  >>> aug = naw.RandomWordAug()
code: def _get_swap_position(self, pos, token_length):
      if pos == 0:
          # Force swap with next character if it is first character
          return pos + 1
      elif pos == token_length:
          # Force swap with previous character if it is last character
          return pos - 1
      else:
          return pos + self.sample([-1, 1], 1)[0]
  
file_path: nlpaug/nlpaug/augmenter/word/random.py
imports: from nlpaug.augmenter.word import WordAugmenter
  from nlpaug.util import Action, Doc
label_desc: Use image node_id 4 for calling the RandomWordAug obj's underlying member method code with example usage: obj._get_swap_position(pos, token_length) and returns: unknown, unknown, unknown